design-cutile-dsl-kernel
Pass
Audited by Gen Agent Trust Hub on Apr 23, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a technical design guide for developers implementing GPU kernels using a specific Python DSL. It contains structural patterns and documentation without any malicious intent.- [SAFE]: No network exfiltration, hardcoded credentials, or unauthorized file access patterns were identified. Mentions of configuration files such as 'src/mla_var3/conf/devices.json' are relevant to the skill's domain of hardware-specific optimization.- [SAFE]: References to Python modules like 'mla_var3.runtime' and 'cuda.tile_experimental' are appropriate for the described technical task and consistent with the author's namespace and industry-standard experimental CUDA tools.- [SAFE]: The compilation and runtime patterns described (CtKernel) are standard for domain-specific languages in high-performance computing and do not involve unsafe dynamic execution of untrusted code.
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